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.NET 缓存设计的使用说明

2017年12月12日  | 移动技术网IT编程  | 我要评论

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关于缓存的设计
1、什么情况下用缓存

缓存是提高应用程序性能的最好方法之一。运用缓存可以优化数据查询，避免不必要的网络数据回传，和避免执行不必要的完全相同的数据处理逻辑。在实现缓存的时候我们要确定什么时候装入缓存数据。用异步装入缓存或用批处理方式来避免出现客户端数据延迟。
一般来说在一定时间内请求了相同的业务逻辑而没有变更的话，可以采用缓存来设计。数据请求频繁的的请求不适合采用缓存，如论坛的回复，但是论坛的主题是可以采用缓存设计的。


2、缓存设计的步骤
确定缓存数据结构：即设计中哪些数据用到了缓存，设计这些数据的缓存结构
确定缓存什么数据
确定缓存过期规则和清理
确定如何装入缓存数据


3、示例 community server的缓存类


复制代码 代码如下:

using system;
  using system.collections;
  using system.text.regularexpressions;
  using system.web;
  using system.web.caching;

  namespace larry.cache
  {
      /// <summary>
     /// 缓存类 community server的缓存类
     /// </summary>
     public class basecache
     {
         /// <summary>
         /// cachedependency 说明
         /// 如果您向 cache 中添加某个具有依赖项的项，当依赖项更改时，
         /// 该项将自动从 cache 中删除。例如，假设您向 cache 中添加某项，
         /// 并使其依赖于文件名数组。当该数组中的某个文件更改时，
         /// 与该数组关联的项将从缓存中删除。
         /// [c#]
         /// insert the cache item.
         /// cachedependency dep = new cachedependency(filename, dt);
         /// cache.insert("key", "value", dep);
         /// </summary>
         public static readonly int dayfactor = ;
         public static readonly int hourfactor = ;
         public static readonly int minutefactor = ;
         public static readonly double secondfactor = 0.;

         private static readonly system.web.caching.cache _cache;

         private static int factor = ;

         /// <summary>
         /// 单件模式
         /// </summary>
         static basecache()
         {
             httpcontext context = httpcontext.current;
             if (context != null)
             {
                 _cache = context.cache;
             }
             else
             {
                 _cache = httpruntime.cache;
             }
         }

         /// <summary>
         /// 一次性清除所有缓存
         /// </summary>
         public static void clear()
         {
             idictionaryenumerator cacheenum = _cache.getenumerator();
             arraylist al = new arraylist();
             while (cacheenum.movenext()) //逐个清除
             {
                 al.add(cacheenum.key);
             }

             foreach (string key in al)
             {
                 _cache.remove(key);
             }

         }

 

         public static void removebypattern(string pattern)
         {
             idictionaryenumerator cacheenum = _cache.getenumerator();
             regex regex = new regex(pattern, regexoptions.ignorecase | regexoptions.singleline | regexoptions.compiled);
             while (cacheenum.movenext())
             {
                 if (regex.ismatch(cacheenum.key.tostring()))
                     _cache.remove(cacheenum.key.tostring());
             }
         }

         /// <summary>
         /// 清除特定的缓存
         /// </summary>
         /// <param name="key"></param>
         public static void remove(string key)
         {
             _cache.remove(key);
         }

         /// <summary>
         /// 缓存object.
         /// </summary>
         /// <param name="key"></param>
         /// <param name="obj"></param>
         public static void insert(string key, object obj)
         {
             insert(key, obj, null, );
         }

        /// <summary>
        /// 缓存obj 并建立依赖项
        /// </summary>
        /// <param name="key"></param>
        /// <param name="obj"></param>
        /// <param name="dep"></param>
        public static void insert(string key, object obj, cachedependency dep)
        {
            insert(key, obj, dep, minutefactor * );
        }

        /// <summary>
        /// 按秒缓存对象
        /// </summary>
        /// <param name="key"></param>
        /// <param name="obj"></param>
        /// <param name="seconds"></param>
        public static void insert(string key, object obj, int seconds)
        {
            insert(key, obj, null, seconds);
        }

        /// <summary>
        /// 按秒缓存对象 并存储优先级
        /// </summary>
        /// <param name="key"></param>
        /// <param name="obj"></param>
        /// <param name="seconds"></param>
        /// <param name="priority"></param>
        public static void insert(string key, object obj, int seconds, cacheitempriority priority)
        {
            insert(key, obj, null, seconds, priority);
        }

        /// <summary>
        /// 按秒缓存对象 并建立依赖项
        /// </summary>
        /// <param name="key"></param>
        /// <param name="obj"></param>
        /// <param name="dep"></param>
        /// <param name="seconds"></param>
        public static void insert(string key, object obj, cachedependency dep, int seconds)
        {
            insert(key, obj, dep, seconds, cacheitempriority.normal);
        }

        /// <summary>
        /// 按秒缓存对象 并建立具有优先级的依赖项
        /// </summary>
        /// <param name="key"></param>
        /// <param name="obj"></param>
        /// <param name="dep"></param>
        /// <param name="seconds"></param>
        /// <param name="priority"></param>
        public static void insert(string key, object obj, cachedependency dep, int seconds, cacheitempriority priority)
        {
            if (obj != null)
            {
                _cache.insert(key, obj, dep, datetime.now.addseconds(factor * seconds), timespan.zero, priority, null);
            }

        }


        public static void microinsert(string key, object obj, int secondfactor)
        {
            if (obj != null)
            {
                _cache.insert(key, obj, null, datetime.now.addseconds(factor * secondfactor), timespan.zero);
            }
        }

        /// <summary>
        /// 最大时间缓存
        /// </summary>
        /// <param name="key"></param>
        /// <param name="obj"></param>
        public static void max(string key, object obj)
        {
            max(key, obj, null);
        }

        /// <summary>
        /// 具有依赖项的最大时间缓存
        /// </summary>
        /// <param name="key"></param>
        /// <param name="obj"></param>
        /// <param name="dep"></param>
        public static void max(string key, object obj, cachedependency dep)
        {
            if (obj != null)
            {
                _cache.insert(key, obj, dep, datetime.maxvalue, timespan.zero, cacheitempriority.abovenormal, null);
            }
        }

        /// <summary>
        /// insert an item into the cache for the maximum allowed time
        /// </summary>
        /// <param name="key"></param>
        /// <param name="obj"></param>
        public static void permanent(string key, object obj)
        {
            permanent(key, obj, null);
        }

        public static void permanent(string key, object obj, cachedependency dep)
        {
            if (obj != null)
            {
                _cache.insert(key, obj, dep, datetime.maxvalue, timespan.zero, cacheitempriority.notremovable, null);
            }
        }

        public static object get(string key)
        {
            return _cache[key];
        }

        /// <summary>
        /// return int of seconds * secondfactor
        /// </summary>
        public static int secondfactorcalculate(int seconds)
        {
            // insert method below takes integer seconds, so we have to round any fractional values
            return convert.toint(math.round((double)seconds * secondfactor));
        }
    }
}

其实这个类就是一个单件模式的设计 和缓存的公共操作方法，其中cachedependency表示建立缓存依赖项，cacheitempriority表示缓存的优先级。s使用如下

复制代码 代码如下:

 public static cardshop.model.systems getconfig()
     {
         const string cachekey = "webconfig";
         cardshop.model.systems samplecachetable = larry.cache.basecache.get(cachekey) as cardshop.model.systems;
         if (samplecachetable == null)
         {
                                   oprationcheck.message("第一次加载使用缓存");
             samplecachetable = model;
             larry.cache.basecache.insert(cachekey, samplecachetable, 24 * larry.cache.basecache.minutefactor);
        }
        else
        {
            oprationcheck.message("已经加载了缓存不需要再加载");
        }
        return samplecachetable;
    }

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